Encryption
All data is encrypted in transit (TLS) and at rest.
Safety model
Trust and Safety
High-liability professionals need explicit guardrails before trusting AI with public responses.
The Danger Filter
Reviews are classified before generation. Legal threats, malpractice allegations, professional error claims, privacy-sensitive language, diagnosis or treatment references, and negligence language trigger escalation. Flagged reviews are blocked from AI drafting and never auto-posted.
Safe
Caution
Danger
What the AI Will Never Write
- Admissions of fault or negligence.
- Legal advice or legal commitments.
- Medical diagnoses, treatment recommendations, or clinical claims.
- Confidential information about specific client situations.
- Promises that extend beyond what a response can guarantee.
Audit Trail and Data Security
Every review, draft, approval action, and post is logged immutably with actor, model version, safety policy version, and timestamp. Data is encrypted in transit and at rest, with tenant-level logical isolation.
Data Security
Tenant Isolation
Row-level isolation keeps account data logically separated.
Access Control
Role-based access and secure authentication for approvers.
No Content Sharing
Review content is never shared across customer accounts.
AI-generated draft responses are suggestions that require human review before publishing. They do not constitute legal advice, medical advice, or professional guidance of any kind. The business owner is solely responsible for all published responses.
Trust built into every response
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